Seeq + Microsoft Azure: Faster Process Manufacturing Insights to Drive Bottom Line Results
Seeq enables advanced analytics on process manufacturing data. When deployed on Microsoft Azure or on-premise on Windows Server, Seeq connects to disparate data sources to provide a single view of process manufacturing data at scale—all without copying or changing source data. Users can cleanse, contextualize, and investigate time series and relational data to diagnose issues and share their findings across the organization. With real-time collaboration between data scientists and subject matter experts, Seeq’s deep insights enable organizations to improve product quality, asset availability, and yields.
The combination of Microsoft and Seeq pairs a secure cloud services platform with innovation in advanced analytics. Seeq can access and contextualize time series and relational data stored on Microsoft Azure, Microsoft SQL Server, or even Microsoft Excel files. End users can access cleansed process manufacturing data in Seeq and export data sets to Microsoft Excel or Microsoft Power BI via OData. With Seeq Data Lab, data scientists can use Azure Notebooks tools to access prepared process data, create machine learning models, and share advanced calculations in Seeq Workbench.
Seeq has been available in the Azure Marketplace since 2018 and in 2020 was a Microsoft Energy Partner of the Year Finalist. Seeq works with Microsoft customers in all process manufacturing verticals including oil & gas, pharmaceutical, power generation, chemicals, and more to improve production and business outcomes. To earn Azure Marketplace status, Seeq has demonstrated customer commitment and compatibility with Microsoft cloud offerings.
- Simple deployment: Easily connect, integrate, index, and cleanse process automation data in Seeq. Seeq is scalable and secure, growing with the needs of any organization. Seeq runs on an Azure cloud environment, as a managed SaaS service, or on-premise using a Windows Server.
- Bridge data silos: Seeq connects to process manufacturing data sources, whether on-premises or on Azure, enabling users to easily prepare data for analysis. With these insights they can make informed business decisions without manipulating or changing underlying data.
- Predict, democratize, prevent: With reports and dashboards, Seeq enables users to perform root cause analysis, democratize those insights, and collaborate across the organization to determine the best course of action.
“Seeq’s focus on driving advanced analytics innovation in process manufacturing organizations makes it an ideal addition to the Azure ecosystem. As Microsoft enables digital transformation initiatives in process manufacturing and IIoT customers, we are excited for the insights Seeq will deliver.”
– Julia White, Corporate Vice President, Microsoft Azure
Already a leader in manufacturing and industrial internet of things (IIoT) advanced analytics software, and 2020 Microsoft Partner of the Year Award finalist (Energy), Seeq announces expanded support for Microsoft Cloud services. Seeq has been available as a SaaS application in the Azure Marketplace since 2018 with support for many Azure cloud services including Synapse, Azure Data Lake, and Azure Notebooks for machine learning integration, in addition to on premise support for Windows Server, Active Directory, and SQL Server. Seeq is now adding connectivity to Azure Data Explorer, the latest release of Time Series Insights, and Power Automate.
The Microsoft Partner of the Year Awards recognize Microsoft partners that have developed and delivered exceptional Microsoft-based solutions during the past year. Awards were classified in several categories, with honorees chosen from a set of more than 3,300 submitted nominations from more than 100 countries worldwide. Seeq was recognized for providing outstanding solutions and services in Energy.
Seeq Corporation announces the availability of their advanced analytics solutions delivered via software as a service (SaaS) on Microsoft Azure. Seeq enables engineers and scientists in process manufacturing organizations to rapidly analyze, predict, collaborate, and share insights to improve production outcomes. Customers include companies in the oil & gas, pharmaceutical, chemical, energy, mining, food and beverage, and other process industries.